The Sensor-Independent LAI/FPAR climate data record (CDR) is derived from high quality LAI/FPAR from MOD15AH C6, MYD15A2H C6, and VNP15A2H C1 products. The low-quality LAI/FPARs were first removed using quality control flags. The high-quality LAI/FPARs were merged into Filtered Sensor-Independent LAI/FPAR data sets. The missing values are then gap filled by spatial-temporal tensor (ST-Tensor) completion model. The Sensor-Independent LAI/FPAR CDR covers the period from 2000 to 2022 year, with spatial resolutions of 500m/5km/0.05 degrees for global vegetation area and temporal resolutions of 8 days or half a month.
Reference: Pu, J., Yan, K., Roy, S., Zhu, Z., Rautiainen, M., Knyazikhin, Y., and Myneni, R. B.: Sensor-independent LAI/FPAR CDR: reconstructing a global sensor-independent climate data record of MODIS and VIIRS LAI/FPAR from 2000 to 2022, Earth Syst. Sci. Data, 16(1), 15-34, https://doi.org/10.5194/essd-16-15-2024, 2024.
The data descroption, file naming convention, data availablity, and example code are detailed in Readme_for_Sensor-Independent LAIFPAR CDR.docx.
Data Citation: Pu, Jiabin, Roy, Samapriya, Knyazikhin, Yuri, & Myneni, Ranga. (2023). Sensor-Independent LAI/FPAR CDR [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8076540
The dataset links are as follows:
- https://doi.org/10.5281/zenodo.8076540 (spatial resolution is 5km/0.05degree and temporal resolution is 8 days/half month)
- https://code.earthengine.google.com/?asset=projects/sat-io/open-datasets/BU_LAI_FPAR/wgs_500m_8d (spatial resolution is 500m and temporal resolution is 8 days)
- https://code.earthengine.google.com/?asset=projects/sat-io/open-datasets/BU_LAI_FPAR/wgs_500m_bimonthly (spatial resolution is 500m and temporal resolution is half month)
The matlab code and GEE code are attached.
All inquiries can be sent to Jiabin Pu (om7759@bu.edu)